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from __future__ import annotations

from datetime import datetime

import boto3

from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from import (
from import GlacierJobOperationSensor
from import GlacierToGCSOperator
from airflow.utils.trigger_rule import TriggerRule
from import SystemTestContextBuilder

[docs]sys_test_context_task = SystemTestContextBuilder().build()
[docs]DAG_ID = "example_glacier_to_gcs"
[docs]def create_vault(vault_name): boto3.client("glacier").create_vault(vaultName=vault_name)
[docs]def delete_vault(vault_name): boto3.client("glacier").delete_vault(vaultName=vault_name)
with DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), # Override to match your needs tags=["example"], catchup=False, ) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context["ENV_ID"] vault_name = f"{env_id}-vault" gcs_bucket_name = f"{env_id}-bucket" gcs_object_name = f"{env_id}-object" # [START howto_operator_glacier_create_job] create_glacier_job = GlacierCreateJobOperator(task_id="create_glacier_job", vault_name=vault_name) JOB_ID = '{{ task_instance.xcom_pull("create_glacier_job")["jobId"] }}' # [END howto_operator_glacier_create_job] # [START howto_sensor_glacier_job_operation] wait_for_operation_complete = GlacierJobOperationSensor( vault_name=vault_name, job_id=JOB_ID, task_id="wait_for_operation_complete", ) # [END howto_sensor_glacier_job_operation] # [START howto_operator_glacier_upload_archive] upload_archive_to_glacier = GlacierUploadArchiveOperator( task_id="upload_data_to_glacier", vault_name=vault_name, body=b"Test Data" ) # [END howto_operator_glacier_upload_archive] # [START howto_transfer_glacier_to_gcs] transfer_archive_to_gcs = GlacierToGCSOperator( task_id="transfer_archive_to_gcs", vault_name=vault_name, bucket_name=gcs_bucket_name, object_name=gcs_object_name, gzip=False, # Override to match your needs # If chunk size is bigger than actual file size # then whole file will be downloaded chunk_size=1024, ) # [END howto_transfer_glacier_to_gcs] chain( # TEST SETUP test_context, create_vault(vault_name), # TEST BODY create_glacier_job, wait_for_operation_complete, upload_archive_to_glacier, transfer_archive_to_gcs, # TEST TEARDOWN delete_vault(vault_name), ) from tests.system.utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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